In autonomous agent systems, memory is an important element to handle agent behaviors appropriately. We present the analysis of memory requirements for robotic tasks including wal...
Unexpected stimuli are a challenge to any machine learning algorithm. Here we identify distinct types of unexpected events, focusing on 'incongruent events' when 'g...
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
Our research focuses on web information management for people who want to monitor and use the World Wide Web (WWW) information, as their information resource. Web information is m...
There is increasing interest within the research community in the design and use of recursive probability models. There remains concern about computational complexity costs and th...